Forbidden patterns, permutation entropy and stock market inefficiency

Detalhes bibliográficos
Autor(a) principal: Zunino, Luciano
Data de Publicação: 2009
Outros Autores: Zanin, Massimiliano, Tabak, Benjamin Miranda, Pérez, Darío G., Rosso, Osvaldo A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UCB
Texto Completo: http://twingo.ucb.br:8080/jspui/handle/10869/318
https://repositorio.ucb.br:9443/jspui/handle/123456789/7605
Resumo: In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.
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spelling Zunino, LucianoZanin, MassimilianoTabak, Benjamin MirandaPérez, Darío G.Rosso, Osvaldo A.2016-10-10T03:52:03Z2016-10-10T03:52:03Z2009ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009.0378-4371http://twingo.ucb.br:8080/jspui/handle/10869/318https://repositorio.ucb.br:9443/jspui/handle/123456789/7605In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.Made available in DSpace on 2016-10-10T03:52:03Z (GMT). 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dc.title.pt_BR.fl_str_mv Forbidden patterns, permutation entropy and stock market inefficiency
title Forbidden patterns, permutation entropy and stock market inefficiency
spellingShingle Forbidden patterns, permutation entropy and stock market inefficiency
Zunino, Luciano
Forbidden patterns
Permutation entropy
Stock market inefficiency
title_short Forbidden patterns, permutation entropy and stock market inefficiency
title_full Forbidden patterns, permutation entropy and stock market inefficiency
title_fullStr Forbidden patterns, permutation entropy and stock market inefficiency
title_full_unstemmed Forbidden patterns, permutation entropy and stock market inefficiency
title_sort Forbidden patterns, permutation entropy and stock market inefficiency
author Zunino, Luciano
author_facet Zunino, Luciano
Zanin, Massimiliano
Tabak, Benjamin Miranda
Pérez, Darío G.
Rosso, Osvaldo A.
author_role author
author2 Zanin, Massimiliano
Tabak, Benjamin Miranda
Pérez, Darío G.
Rosso, Osvaldo A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Zunino, Luciano
Zanin, Massimiliano
Tabak, Benjamin Miranda
Pérez, Darío G.
Rosso, Osvaldo A.
dc.subject.por.fl_str_mv Forbidden patterns
Permutation entropy
Stock market inefficiency
topic Forbidden patterns
Permutation entropy
Stock market inefficiency
dc.description.abstract.por.fl_txt_mv In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.
dc.description.version.pt_BR.fl_txt_mv Sim
dc.description.status.pt_BR.fl_txt_mv Publicado
description In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2016-10-10T03:52:03Z
dc.date.available.fl_str_mv 2016-10-10T03:52:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009.
dc.identifier.uri.fl_str_mv http://twingo.ucb.br:8080/jspui/handle/10869/318
https://repositorio.ucb.br:9443/jspui/handle/123456789/7605
dc.identifier.issn.none.fl_str_mv 0378-4371
identifier_str_mv ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009.
0378-4371
url http://twingo.ucb.br:8080/jspui/handle/10869/318
https://repositorio.ucb.br:9443/jspui/handle/123456789/7605
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dc.relation.publisherversion.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.physa.2009.03.042
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